66 lines
2.8 KiB
Python
66 lines
2.8 KiB
Python
import asyncio
|
|
import json
|
|
import logging
|
|
from common.db import fetchone, execute, is_done, get_analysis_raw_data, save_analysis_report
|
|
from integrations.llm.llm_service import LLMService
|
|
from integrations.llm.prompt import report_prompt
|
|
from integrations.llm.schemas.report import ReportOutput
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
async def generate_report(analysis_run_id: str) -> ReportOutput:
|
|
run = await fetchone(
|
|
"SELECT hospital_id FROM analysis_runs WHERE analysis_run_id = %s",
|
|
(analysis_run_id,),
|
|
)
|
|
clinic_row = await fetchone(
|
|
"SELECT raw_data FROM hospital_baseinfo WHERE hospital_id = %s",
|
|
(run["hospital_id"],),
|
|
)
|
|
raw_data = clinic_row["raw_data"] if clinic_row else None
|
|
clinic = json.loads(raw_data) if isinstance(raw_data, str) else (raw_data or {})
|
|
raw = await get_analysis_raw_data(analysis_run_id)
|
|
|
|
input_data = {
|
|
"clinic_name": clinic.get("clinicName"),
|
|
"clinic_name_en": clinic.get("clinicNameEn"),
|
|
"address": clinic.get("address"),
|
|
"phone": clinic.get("phone"),
|
|
"slogan": clinic.get("slogan"),
|
|
"services": json.dumps(clinic.get("services", []), ensure_ascii=False),
|
|
"doctors": json.dumps(clinic.get("doctors", []), ensure_ascii=False),
|
|
**{
|
|
channel: json.dumps(data, ensure_ascii=False) if data else None
|
|
for channel, data in raw.items()
|
|
},
|
|
}
|
|
|
|
return await LLMService(provider="perplexity").generate(report_prompt, input_data)
|
|
|
|
|
|
async def run_report_task(analysis_run_id: str) -> None:
|
|
logger.info("[report] start run=%s", analysis_run_id)
|
|
result = await generate_report(analysis_run_id)
|
|
await save_analysis_report(analysis_run_id, result.model_dump())
|
|
await execute("UPDATE analysis_runs SET status = 'completed' WHERE analysis_run_id = %s", (analysis_run_id,))
|
|
logger.info("[report] done run=%s", analysis_run_id)
|
|
|
|
|
|
async def check_and_advance_analysis(analysis_run_id: str) -> None:
|
|
run = await fetchone(
|
|
"SELECT instagram_data_id, facebook_data_id, naver_blog_data_id, youtube_data_id, gangnam_unni_data_id"
|
|
" FROM analysis_runs WHERE analysis_run_id = %s",
|
|
(analysis_run_id,),
|
|
)
|
|
results = [
|
|
await is_done("instagram_data", run["instagram_data_id"]),
|
|
await is_done("facebook_data", run["facebook_data_id"]),
|
|
await is_done("naver_blog_data", run["naver_blog_data_id"]),
|
|
await is_done("youtube_data", run["youtube_data_id"]),
|
|
await is_done("gangnam_unni_data", run["gangnam_unni_data_id"]),
|
|
]
|
|
if all(results):
|
|
await execute("UPDATE analysis_runs SET status = 'analyzing' WHERE analysis_run_id = %s", (analysis_run_id,))
|
|
asyncio.create_task(run_report_task(analysis_run_id))
|